C++ PNEANet::EndNI方法代码示例

int GetWeightedPageRank(const PNEANet Graph, TIntFltH& PRankH, const TStr& Attr, const double& C, const double& Eps, const int& MaxIter) {
  if (!Graph->IsFltAttrE(Attr)) return -1;

  TFltV Weights = Graph->GetFltAttrVecE(Attr);

  int mxid = Graph->GetMxNId();
  TFltV OutWeights(mxid);
  Graph->GetWeightOutEdgesV(OutWeights, Weights);
  /*for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    OutWeights[NI.GetId()] = Graph->GetWeightOutEdges(NI, Attr);
  }*/


  /*TIntFltH Weights;
  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    Weights.AddDat(NI.GetId(), Graph->GetWeightOutEdges(NI, Attr));
  }*/

  const int NNodes = Graph->GetNodes();
  //const double OneOver = 1.0/double(NNodes);
  PRankH.Gen(NNodes);
  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    PRankH.AddDat(NI.GetId(), 1.0/NNodes);
    //IAssert(NI.GetId() == PRankH.GetKey(PRankH.Len()-1));
  }
  TFltV TmpV(NNodes);
  for (int iter = 0; iter < MaxIter; iter++) {
    int j = 0;
    for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++, j++) {
      TmpV[j] = 0;
      for (int e = 0; e < NI.GetInDeg(); e++) {
        const int InNId = NI.GetInNId(e);
        const TFlt OutWeight = OutWeights[InNId];
        int EId = Graph->GetEId(InNId, NI.GetId());
        const TFlt Weight = Weights[Graph->GetFltKeyIdE(EId)];
        if (OutWeight > 0) {
          TmpV[j] += PRankH.GetDat(InNId) * Weight / OutWeight; }
      }
      TmpV[j] =  C*TmpV[j]; // Berkhin (the correct way of doing it)
      //TmpV[j] =  C*TmpV[j] + (1.0-C)*OneOver; // iGraph
    }
    double diff=0, sum=0, NewVal;
    for (int i = 0; i < TmpV.Len(); i++) { sum += TmpV[i]; }
    const double Leaked = (1.0-sum) / double(NNodes);
    for (int i = 0; i < PRankH.Len(); i++) { // re-instert leaked PageRank
      NewVal = TmpV[i] + Leaked; // Berkhin
      //NewVal = TmpV[i] / sum;  // iGraph
      diff += fabs(NewVal-PRankH[i]);
      PRankH[i] = NewVal;
    }
    if (diff < Eps) { break; }
  }
  return 0;
}

 TPRManager(PNEANet &Net) : Net(Net), CapIndex(0), FlowV(Net->GetMxEId()), ExcessV(Net->GetMxNId()), EdgeNumsV(Net->GetMxNId()), LabelsV(Net->GetMxNId()), LabelCounts(Net->GetNodes() + 1), LabelLimit(0), MaxLabel(Net->GetNodes()), ActiveNodeSet(Net->GetMxNId()), ActiveCount(0) {
   CapIndex = Net->GetIntAttrIndE(CapAttrName);
   for (int i = 0; i <= Net->GetNodes(); i++) { LabelCounts[i] = 0; }
   for (TNEANet::TEdgeI EI = Net->BegEI(); EI != Net->EndEI(); EI++) {
     int EId = EI.GetId();
     IAssert(Capacity(EId) >= 0);
     FlowV[EId] = 0;
   }
   for (TNEANet::TNodeI NI = Net->BegNI(); NI != Net->EndNI(); NI++) {
     int NId = NI.GetId();
     ExcessV[NId] = 0;
     EdgeNumsV[NId] = 0;
     ActiveNodeSet[NId] = 0;
   }
   LabelCounts[0] = Net->GetNodes();
 }

/// Implements the Global Relabeling heuristic. ##TSnap::GlobalRelabel
void GlobalRelabel (PNEANet &Net, TPRManager &PRM, const int& SrcNId, const int& SnkNId) {
  TIntQ NodeQ;
  int size = Net->GetMxNId();
  TIntV NodeV(size);
  for (int i = 0; i < size; i++) { NodeV[i] = 0; }
  NodeQ.Push(SnkNId);
  NodeV[SnkNId] = 1;
  int MaxLabel = PRM.GetMaxLabel();
  while (!NodeQ.Empty()) {
    // Backward search
    int NId = NodeQ.Top(); NodeQ.Pop();
    const TNEANet::TNodeI &NI = Net->GetNI(NId);
    // Check all edges that point out of the current node for those over which flow can be returned.
    for (int EdgeN = 0; EdgeN < NI.GetOutDeg(); EdgeN++) {
      int OutNId = NI.GetOutNId(EdgeN);
      int EId = NI.GetOutEId(EdgeN);
      if (!NodeV[OutNId] && PRM.Flow(EId) > 0) {
        NodeV[OutNId] = 1;
        NodeQ.Push(OutNId);
        PRM.SetLabel(OutNId, PRM.Label(NId) + 1);
      }
    }
    // Check all edges that point into the current node for those over which flow can be added.
    for (int EdgeN = 0; EdgeN < NI.GetInDeg(); EdgeN++) {
      int InNId = NI.GetInNId(EdgeN);
      int EId = NI.GetInEId(EdgeN);
      if (!NodeV[InNId] && PRM.Capacity(EId) > PRM.Flow(EId)) {
        NodeV[InNId] = 1;
        NodeQ.Push(InNId);
        PRM.SetLabel(InNId, PRM.Label(NId) + 1);
      }
    }
  }

  for (TNEANet::TNodeI NI = Net->BegNI(); NI != Net->EndNI(); NI++) {
    int NId = NI.GetId();
    if (NodeV[NId]) {
      if (PRM.Excess(NId) > 0 && PRM.Label(NId) < MaxLabel && NId != SnkNId) {
        if (!PRM.IsActive(NId)) { PRM.PushActive(NId); }
      }
    } else {
      if (PRM.IsActive(NId)) { PRM.RemoveActive(NId); }
      PRM.SetLabel(NId, MaxLabel);
    }
  }
}

// Test node, edge creation
void ManipulateNodesEdges() {
  int NNodes = 1000;
  int NEdges = 100000;
  const char *FName = "demo.graph.dat";

  PNEANet Graph;
  PNEANet Graph1;
  PNEANet Graph2;
  int i;
  int n;
  int NCount;
  int ECount1;
  int ECount2;
  int x,y;
  bool t;

  Graph = TNEANet::New();
  t = Graph->Empty();

  // create the nodes
  for (i = 0; i < NNodes; i++) {
    Graph->AddNode(i);
  }
  n = Graph->GetNodes();
  t = Graph->Empty();

  // create random edges
  NCount = NEdges;
  while (NCount > 0) {
    x = rand() % NNodes;
    y = rand() % NNodes;
    n = Graph->AddEdge(x, y);
    NCount--;
  }
  PrintGStats("ManipulateNodesEdges:Graph",Graph);

  // get all the nodes
  NCount = 0;
  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    NCount++;
  }

  // get all the edges for all the nodes
  ECount1 = 0;
  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    for (int e = 0; e < NI.GetOutDeg(); e++) {
      ECount1++;
    }
  }

  // get all the edges directly
  ECount2 = 0;
  for (TNEANet::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
    ECount2++;
  }
  printf("graph ManipulateNodesEdges:Graph, nodes %d, edges1 %d, edges2 %d\n",
      NCount, ECount1, ECount2);

  // assignment
  Graph1 = TNEANet::New();
  *Graph1 = *Graph;
  PrintGStats("ManipulateNodesEdges:Graph1",Graph1);

  // save the graph
  {
    TFOut FOut(FName);
    Graph->Save(FOut);
    FOut.Flush();
  }

  // load the graph
  {
    TFIn FIn(FName);
    Graph2 = TNEANet::Load(FIn);
  }
  PrintGStats("ManipulateNodesEdges:Graph2",Graph2);

  // remove all the nodes and edges
  for (i = 0; i < NNodes; i++) {
    n = Graph->GetRndNId();
    Graph->DelNode(n);
  }

  PrintGStats("ManipulateNodesEdges:Graph",Graph);

  Graph1->Clr();
  PrintGStats("ManipulateNodesEdges:Graph1",Graph1);
}

int GetWeightedPageRankMP2(const PNEANet Graph, TIntFltH& PRankH, const TStr& Attr, const double& C, const double& Eps, const int& MaxIter) {
  if (!Graph->IsFltAttrE(Attr)) return -1;
  const int NNodes = Graph->GetNodes();
  TVec<TNEANet::TNodeI> NV;

  //const double OneOver = 1.0/double(NNodes);
  PRankH.Gen(NNodes);
  int MxId;

  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    NV.Add(NI);
    PRankH.AddDat(NI.GetId(), 1.0/NNodes);
    int Id = NI.GetId();
    if (Id > MxId) {
      MxId = Id;
    }
  }

  TFltV PRankV(MxId+1);
  TFltV OutWeights(MxId+1);

  TFltV Weights = Graph->GetFltAttrVecE(Attr);

  #pragma omp parallel for schedule(dynamic,10000)
  for (int j = 0; j < NNodes; j++) {
    TNEANet::TNodeI NI = NV[j];
    int Id = NI.GetId();
    OutWeights[Id] = Graph->GetWeightOutEdges(NI, Attr);
    PRankV[Id] = 1/NNodes;
  }

  TFltV TmpV(NNodes);
  for (int iter = 0; iter < MaxIter; iter++) {

    #pragma omp parallel for schedule(dynamic,10000)
    for (int j = 0; j < NNodes; j++) {
      TNEANet::TNodeI NI = NV[j];
      TFlt Tmp = 0;
      for (int e = 0; e < NI.GetInDeg(); e++) {
        const int InNId = NI.GetInNId(e);

        const TFlt OutWeight = OutWeights[InNId];

        int EId = Graph->GetEId(InNId, NI.GetId());
        const TFlt Weight = Weights[Graph->GetFltKeyIdE(EId)];

        if (OutWeight > 0) {
          Tmp += PRankH.GetDat(InNId) * Weight / OutWeight; 
        }
      }
      TmpV[j] =  C*Tmp; // Berkhin (the correct way of doing it)
      //TmpV[j] =  C*TmpV[j] + (1.0-C)*OneOver; // iGraph
    }

    double sum = 0;
    #pragma omp parallel for reduction(+:sum) schedule(dynamic,10000)
    for (int i = 0; i < TmpV.Len(); i++) { sum += TmpV[i]; }
    const double Leaked = (1.0-sum) / double(NNodes);

    double diff = 0;
    #pragma omp parallel for reduction(+:diff) schedule(dynamic,10000)
    for (int i = 0; i < NNodes; i++) {
      TNEANet::TNodeI NI = NV[i];
      double NewVal = TmpV[i] + Leaked; // Berkhin
      //NewVal = TmpV[i] / sum;  // iGraph
      int Id = NI.GetId();
      diff += fabs(NewVal-PRankV[Id]);
      PRankV[Id] = NewVal;
    }
    if (diff < Eps) { break; }
  }

  #pragma omp parallel for schedule(dynamic,10000)
  for (int i = 0; i < NNodes; i++) {
    TNEANet::TNodeI NI = NV[i];
    PRankH[i] = PRankV[NI.GetId()];
  }

  return 0;
}

// Test node, edge creation
TEST(TNEANet, ManipulateNodesEdges) {
  int NNodes = 1000;
  int NEdges = 100000;
  const char *FName = "test.graph.dat";

  PNEANet Graph;
  PNEANet Graph1;
  PNEANet Graph2;
  int i;
  int n;
  int NCount;
  int x,y;
  int Deg, InDeg, OutDeg;

  Graph = TNEANet::New();
  EXPECT_EQ(1,Graph->Empty());

  // create the nodes
  for (i = 0; i < NNodes; i++) {
    Graph->AddNode(i);
  }
  EXPECT_EQ(0,Graph->Empty());
  EXPECT_EQ(NNodes,Graph->GetNodes());

  // create random edges
  NCount = NEdges;
  while (NCount > 0) {
    x = (long) (drand48() * NNodes);
    y = (long) (drand48() * NNodes);
    n = Graph->AddEdge(x, y);
    NCount--;
  }

  EXPECT_EQ(NEdges,Graph->GetEdges());

  EXPECT_EQ(0,Graph->Empty());
  EXPECT_EQ(1,Graph->IsOk());

  for (i = 0; i < NNodes; i++) {
    EXPECT_EQ(1,Graph->IsNode(i));
  }

  EXPECT_EQ(0,Graph->IsNode(NNodes));
  EXPECT_EQ(0,Graph->IsNode(NNodes+1));
  EXPECT_EQ(0,Graph->IsNode(2*NNodes));

  // nodes iterator
  NCount = 0;
  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    NCount++;
  }
  EXPECT_EQ(NNodes,NCount);

  // edges per node iterator
  NCount = 0;
  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    for (int e = 0; e < NI.GetOutDeg(); e++) {
      NCount++;
    }
  }
  EXPECT_EQ(NEdges,NCount);

  // edges iterator
  NCount = 0;
  for (TNEANet::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
    NCount++;
  }
  EXPECT_EQ(NEdges,NCount);

  // node degree
  for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
    Deg = NI.GetDeg();
    InDeg = NI.GetInDeg();
    OutDeg = NI.GetOutDeg();

    EXPECT_EQ(Deg,InDeg+OutDeg);
  }

  // assignment
  Graph1 = TNEANet::New();
  *Graph1 = *Graph;

  EXPECT_EQ(NNodes,Graph1->GetNodes());
  EXPECT_EQ(NEdges,Graph1->GetEdges());
  EXPECT_EQ(0,Graph1->Empty());
  EXPECT_EQ(1,Graph1->IsOk());

  // saving and loading
  {
    TFOut FOut(FName);
    Graph->Save(FOut);
    FOut.Flush();
  }

  {
    TFIn FIn(FName);
    Graph2 = TNEANet::Load(FIn);
  }

//.........这里部分代码省略.........